Lavori attuali relativi a Sr Manager, Applied Science, Last Mile Delivery Automation - pisa - Amazon
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Sr Manager, Applied Science, Last Mile Delivery Automation
2 settimane fa
Pisa, Italia Amazon A tempo pienoSr Manager, Applied Science, Last Mile Delivery Automation Job ID: | Amazon.com Services LLC We are seeking a Senior Manager, Applied Science to lead the applied science charter for Amazon’s Last-Hundred-Yard automation initiative, developing the algorithms, models, and learning systems that enable safe, reliable, and scalable autonomous delivery from...
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Sr Manager, Applied Science, Last Mile Delivery Automation
2 settimane fa
Pisa (PI), Italia Amazon A tempo pienoSr Manager, Applied Science, Last Mile Delivery Automation Job ID: 3147888 | Amazon.com Services LLC We are seeking a Senior Manager, Applied Science to lead the applied science charter for Amazon's Last-Hundred-Yard automation initiative, developing the algorithms, models, and learning systems that enable safe, reliable, and scalable autonomous delivery...
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Head of Applied Science — Last-Mile Autonomy
2 settimane fa
Pisa, Italia Amazon A tempo pienoA leading technology firm is seeking a Senior Manager, Applied Science to lead the applied science charter for Last-Mile Delivery Automation. In this role, you will develop algorithms and models to enable reliable autonomous delivery while leading a high-performing team. Candidates should have over 10 years of experience in machine learning, a Master's or...
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Head of Applied Science — Last-Mile Autonomy
2 settimane fa
Pisa (PI), Italia Amazon A tempo pienoA leading technology firm is seeking a Senior Manager, Applied Science to lead the applied science charter for Last-Mile Delivery Automation. In this role, you will develop algorithms and models to enable reliable autonomous delivery while leading a high-performing team. Candidates should have over 10 years of experience in machine learning, a Master's or...
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Sr Manager, Hardware Dev, Last Mile Delivery Automation
2 settimane fa
pisa, Italia Amazon A tempo pienoSr Manager, Hardware Dev, Last Mile Delivery AutomationJob ID: | Amazon.com Services LLCThe Senior Manager of Hardware Development will lead the end-to-end design, development, validation, and industrialization of hardware platforms that enable Amazon’s next generation of last-mile delivery automation. This role owns the physical robot and vehicle-adjacent...
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Sr Manager, Hardware Dev, Last Mile Delivery Automation
2 settimane fa
Pisa, Italia Amazon A tempo pienoSr Manager, Hardware Dev, Last Mile Delivery Automation Job ID: | Amazon.com Services LLC The Senior Manager of Hardware Development will lead the end-to-end design, development, validation, and industrialization of hardware platforms that enable Amazon’s next generation of last-mile delivery automation. This role owns the physical robot and...
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Software Engineer
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Pisa, Italia Amazon A tempo pienoA leading technology company in Italy seeks a Software Development Engineer focused on developing scalable software solutions for last mile delivery systems.Candidates should have a strong foundation in software development, with at least 3 years of professional experience.Collaboration with Sr Engineers and Product Managers is essential, and excellence in...
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Software Engineer
4 giorni fa
pisa, Italia Amazon A tempo pienoA leading technology company in Italy seeks a Software Development Engineer focused on developing scalable software solutions for last mile delivery systems. Candidates should have a strong foundation in software development, with at least 3 years of professional experience. Collaboration with Sr Engineers and Product Managers is essential, and excellence in...
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Senior Hardware Lead, Last‑Mile Delivery Robotics
2 settimane fa
Pisa, Italia Amazon A tempo pienoA leading technology company in Pisa is seeking a Senior Manager in Hardware Development. This individual will oversee the design and delivery of hardware platforms for last-mile delivery automation, managing teams across various engineering disciplines. Candidates should have extensive experience in manufacturing and team management. The position comes with...
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Sr. Research Scientist, Last Mile Science
4 giorni fa
Pisa, Italia Amazon A tempo pienoSr. Research Scientist, Last Mile Science Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of...
Sr Manager, Applied Science, Last Mile Delivery Automation
6 giorni fa
Sr Manager, Applied Science, Last Mile Delivery Automation Job ID: | Amazon.com Services LLC We are seeking a Senior Manager, Applied Science to lead the applied science charter for Amazon’s Last-Hundred-Yard automation initiative, developing the algorithms, models, and learning systems that enable safe, reliable, and scalable autonomous delivery from vehicle to customer doorstep. This role owns the scientific direction across perception, localization, prediction, planning, learning-based controls, human-robot interaction (HRI), and data-driven autonomy validation, operating in complex, unstructured real-world environments. The Senior Manager will build and lead a high-performing team of applied scientists, set the technical vision and research-to-production roadmap, and ensure tight integration between science, engineering, simulation, and operations. This leader is responsible for translating ambiguous real-world delivery problems into rigorous modeling approaches, measurable autonomy improvements, and production-ready solutions that scale across cities, terrains, weather conditions, and customer scenarios. Success in this role requires deep expertise in machine learning and robotics, strong people leadership, and the ability to balance long-term scientific innovation with near-term delivery milestones. The Senior Manager will play a critical role in defining how Amazon applies science to unlock autonomous last-mile delivery at scale, while maintaining the highest bars for safety, customer trust, and operational performance. Responsibilities Set and own the applied science vision and roadmap for last-hundred-yard automation, spanning perception, localization, prediction, planning, learning-based controls, and HRI. Build, lead, and develop a high-performing applied science organization, including hiring, mentoring, performance management, and technical bar-raising. Drive the end-to-end science lifecycle from problem formulation and data strategy to model development, evaluation, deployment, and iteration in production. Partner closely with autonomy engineering to translate scientific advances into scalable, production-ready autonomy behaviors. Define and own scientific success metrics (e.g., autonomy performance, safety indicators, scenario coverage, intervention reduction) and ensure measurable impact. Lead the development of learning-driven autonomy using real-world data, simulation, and offline/online evaluation frameworks. Establish principled approaches for generalization across environments, including weather, terrain, lighting, customer properties, and interaction scenarios. Drive alignment between real-world operations and simulation, ensuring tight feedback loops for data collection and model validation. Influence safety strategy and validation by defining scientific evidence required for autonomy readiness and scale. Represent applied science in executive reviews, articulating trade-offs, risks, and long-term innovation paths. Basic Qualifications 10+ years of building large-scale machine learning and AI solutions at Internet scale experience Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) Experience building large-scale machine learning and AI solutions at Internet scale Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track Preferred Qualifications 10+ years of practical work applying ML to solve complex problems for large-scale applications experience 5+ years of hands-on work in big data, machine learning and predictive modeling experience 5+ years of people management experience PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) Experience in practical work applying ML to solve complex problems for large scale applications Experience working with big data, machine learning and predictive modeling Experience in people management Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language Experience researching actual applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Bellevue - 218,800.00 - 295,900.00 USD annually Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
